PomdpXWriter#

class pgmpy.readwrite.PomdpXWriter(model_data, encoding='utf-8', prettyprint=True)[source]#

Bases: object

Initialise a PomdpXWriter Object

Parameters:

model: A Bayesian of Markov Model: The model to write
encoding: String(optional): Encoding for text data
prettyprint: Bool(optional): Indentation in output XML if true

add_conditions(condition, condprob)[source]#

helper function for adding probability conditions for model Parameters —————

condition: dictionary: contains and element of conditions list
condprob: etree SubElement: the tag to which condition is added

add_initial_belief()[source]#: add initial belief tag to pomdpx model

add_obs_function()[source]#: add observation function tag to pomdpx model

add_parameter_dd(dag_tag, node_dict)[source]#

helper function for adding parameters in condition

Parameters:

dag_tag: etree SubElement: the DAG tag is contained in this subelement
node_dict: dictionary: the decision diagram dictionary

add_reward_function()[source]#: add reward function tag to pomdpx model

add_state_transition_function()[source]#: add state transition function tag to pomdpx model

get_variables()[source]#: Add variables to PomdpX

indent(elem, level=0)[source]#: Inplace prettyprint formatter.